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ISNN
2010
Springer
14 years 1 months ago
Visual Selection and Attention Shifting Based on FitzHugh-Nagumo Equations
In this paper, we make some analysis on the FitzHugh-Nagumo model and improve it to build a neural network, and the network is used to implement visual selection and attention shif...
Haili Wang, Yuanhua Qiao, Lijuan Duan, Faming Fang...
JCNS
1998
134views more  JCNS 1998»
13 years 8 months ago
Analytical and Simulation Results for Stochastic Fitzhugh-Nagumo Neurons and Neural Networks
An analytical approach is presented for determining the response of a neuron or of the activity in a network of connected neurons, represented by systems of nonlinear ordinary stoc...
Henry C. Tuckwell, Roger Rodriguez
BC
2008
86views more  BC 2008»
13 years 8 months ago
Firing patterns in the adaptive exponential integrate-and-fire model
For simulations of large spiking neuron networks, an accurate, simple and versatile single-neuron modeling framework is required. Here we explore the versatility of a simple two-eq...
Richard Naud, Nicolas Marcille, Claudia Clopath, W...
NIPS
2004
13 years 10 months ago
Hierarchical Bayesian Inference in Networks of Spiking Neurons
There is growing evidence from psychophysical and neurophysiological studies that the brain utilizes Bayesian principles for inference and decision making. An important open quest...
Rajesh P. N. Rao
NIPS
2000
13 years 10 months ago
Dendritic Compartmentalization Could Underlie Competition and Attentional Biasing of Simultaneous Visual Stimuli
Neurons in area V4 have relatively large receptive fields (RFs), so multiple visual features are simultaneously "seen" by these cells. Recordings from single V4 neurons ...
Kevin A. Archie, Bartlett W. Mel